Comparative Study Of P&O and PSO Particle Swarm Optimization MPPT Controllers Under Partial Shading

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Abstract: Maximum power point tracking (MPPT) is a vital and essential requirement for photovoltaic (PV) systems under normal irradiance and partial shading conditions (PSCs). Although, perturb and observe (P&O) algorithm does not map the global maximum power point (GMPP), whereas the algorithm for particle swarm optimization (PSO) tracks it efficiently. This paper explores the rapid determination of GMPP under PSCs using a proposed particle swarm optimization MPPT technique which operates in conjunction with a boost converter. To achieve this analysis, MATLAB/SIMIULINK is used. The results of the simulation illustrate the high tracking performance of the proposed technique under various irradiance patterns.

International Journal of Electrical Engineering and Computer Science, E-ISSN: 2769-2507, Volume 4, 2022, Art. #7

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Mahbouba Brahmi, Chiheb Ben Regaya, Hichem Hamdi, Abderrahmen Zaafouri, "Comparative Study Of P&O and PSO Particle Swarm Optimization MPPT Controllers Under Partial Shading," International Journal of Electrical Engineering and Computer Science, vol. 4, pp. 45-50, 2022, DOI:10.37394/232027.2022.4.7
Mahbouba Brahmi, Chiheb Ben Regaya, Hichem Hamdi, Abderrahmen Zaafouri. Comparative Study Of P&O and PSO Particle Swarm Optimization MPPT Controllers Under Partial Shading. International Journal of Electrical Engineering and Computer Science. 2022;4:45-50. 10.37394/232027.2022.4.7
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